Magyar Bancorp (MGYR) Enterprise Value (2009 - 2026)
Magyar Bancorp's Enterprise Value was $123.01 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), up 17.3% from $104.82 million a year earlier and up 21.5% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Enterprise Value at Magyar Bancorp came in at $123.44 million, up 17.8% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of 82.7% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $104.82 million in FY2025 (+92.0%), $54.6 million in FY2024, -$4.12 million in FY2023 and $52.91 million in FY2022 (+771.7%).
- The fiscal Q4 2026 figure marks the highest quarterly Enterprise Value in data going back to fiscal Q4 2010.
- Compared with a year earlier, Enterprise Value has increased for six straight quarters, with growth averaging 104.0% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q4 2022 (growth of 771.7%); the worst was fiscal Q1 2024 (a decline of 70.0%).
- Per Business Quant data, MGYR's Enterprise Value in the three fiscal quarters before Q4 2026 was $101.21 million (Q3 2026), $64.34 million (Q2 2026) and $77.83 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 123.01 Mn |
| Jun 30, 2026 | 101.21 Mn |
| Mar 31, 2026 | 64.34 Mn |
| Dec 31, 2025 | 77.83 Mn |
| Sep 30, 2025 | 104.82 Mn |
| Jun 30, 2025 | 100.49 Mn |
| Mar 31, 2025 | 17.04 Mn |
| Dec 31, 2024 | 36.07 Mn |
| Sep 30, 2024 | 54.60 Mn |
| Jun 30, 2024 | 24.94 Mn |
| Mar 31, 2024 | 23.41 Mn |
| Dec 31, 2023 | 23.59 Mn |
| Sep 30, 2023 | -4.12 Mn |
| Jun 30, 2023 | 46.55 Mn |
| Mar 31, 2023 | 45.48 Mn |
| Dec 31, 2022 | 78.57 Mn |
| Sep 30, 2022 | 52.91 Mn |
| Jun 30, 2022 | 57.79 Mn |
| Mar 31, 2022 | 28.46 Mn |
| Dec 31, 2021 | 4.89 Mn |
API Access
Magyar Bancorp Enterprise Value API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=enterprise-value&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "MGYR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();